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Daniel RomeroView profile

Professor

• UAV Communications
• Wireless Communications
• Time-Series Analysis
• +5 more

**Daniel Romero** is a **Professor** in the **Department of Information and Communication Technology** at the **University of Agder**, Norway. His research focuses on UAV communications, time-series analysis using machine learning and network science, and decentralized processing for sensor networks. He holds a Ph.D. in Signal Theory and Communications from the University of Vigo (2015), an M.Sc. in Signal Theory (2011), and a Telecommunication Engineering degree (2009). **Education**: Ph.D. in Signal Theory and Communications, University of Vigo (2015) M.Sc. in Signal Theory and Communications, University of Vigo (2011) Telecommunication Engineering, University of Vigo (2009) **Research Interests**: His work spans UAV communication systems (focusing on low-latency, high-reliability networks), time-series analysis for complex systems (using ML and network science), and decentralized computation in sensor networks to improve robustness and hardware efficiency. Recent projects include radio map estimation for mmWave beam alignment, spoofing detection via graph neural networks, and aerial base station placement optimization. **Publications**: Over 30+ peer-reviewed articles in top venues like IEEE Transactions on Wireless Communications and ICC. Recent trends emphasize radio map estimation (2023–2024), UAV-enabled spectrum surveying (2022), and robust D2D communications (2022). **Advising & Grants**: Teaches PhD courses (Statistical Signal Processing, Advanced Optimization) and leads the **Advanced Signal Processing Lab (ASL)**. Collaborates with the **CIEM (Center for Integrated Emergency Management)** on crisis-related communication systems. **Labs/Teams**: Directs the Advanced Signal Processing Lab (ASL.uia.no) and contributes to CIEM, applying ML and signal processing to emergency management challenges.

• Shock Compression
• High Strain-Rate Deformation
• Synchrotron X-ray Imaging
• +4 more

Dr. David Chapman is a Senior Research Associate in the Department of Engineering Science at the University of Oxford and a Senior Research Fellow at Pembroke College, Oxford. He holds a visiting academic position at Imperial College London. His research focuses on shock compression, high strain-rate deformation of heterogeneous solids, synchrotron X-ray imaging, and time-resolved diagnostics. His work explores material failure under extreme conditions, with applications in dynamic material behavior analysis. Chapman’s research interests include: Shock compression mechanics Dynamic material characterization using synchrotron radiation Advanced diagnostics for high-speed material testing Thermomechanical coupling in polymers and composites Recent studies highlight his contributions to understanding granular material compaction, ionization in warm dense matter, and the role of crystal orientation in metallic alloys. His work bridges experimental mechanics with computational modeling. Scientific Awards: No awards explicitly mentioned in the provided text. Chapman collaborates with research groups at Oxford and Imperial College London, contributing to the Solid Mechanics and Materials Engineering domain. His research leverages cutting-edge facilities like the European Synchrotron Radiation Facility (ESRF) for ultra-high-speed imaging.

Michael E. OskinView profile

Professor

• Geology
• Structural Geology
• Geomorphology
• +4 more

Michael E. Oskin is a Professor and former Department Chair (2017-2021) in the Department of Earth and Planetary Sciences at the University of California, Davis. He also serves as faculty director of the Lassen Field Station, part of the UC Natural Reserve System. His research focuses on structural geology, geomorphology, and active tectonics, particularly the interplay between earthquakes, surface processes, and landscape evolution. He specializes in using high-resolution topography and geochronological techniques to study deformation rates, fault mechanics, and tectonic processes in regions like California and the Tibetan Plateau. Education: B.S. in Geology/Engineering Geology, UC Los Angeles (1995) Ph.D. in Geology, California Institute of Technology (2002) Research Interests: His work addresses deformation rates linked to earthquakes, continental deformation mechanisms, and topographic responses to geologic structures. Techniques include field observations, cosmogenic dating, and lidar analysis to quantify processes like fault slip, erosion, and landscape evolution. Publications: Recent work includes studies on fault rupture dynamics (e.g., San Andreas and Ridgecrest earthquakes), geochronological modeling, and tectonic evolution in regions like the Tibetan Plateau. His research bridges structural geology with quantitative methods to advance understanding of active crustal processes. Awards: Recipient of the UC Davis Graduate Program Advising and Mentoring Award (2020). Advising & Grants: Mentor to over 20 graduate students, emphasizing collaborative research, fieldwork, and open science practices. Prioritizes student summer support and funding for field/analytical costs. Leads a lab focused on earthquake geology and hosts weekly reading groups. Labs/Teams: Oversees the Lassen Field Station, teaching the summer field course GEL 110A and conducting research in the region. Active in the UC Natural Reserve System and collaborates with international research groups.

Roy T.E. HermannsView profile

Researcher

• Combustion Engineering
• Renewable Energy
• Thermal Fluids
• +3 more

Roy T.E. Hermanns is a University Researcher in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His work focuses on combustion science, renewable energy carriers, and thermal fluid dynamics. He holds a PhD in Mechanical Engineering (2007) from TU/e, specializing in laminar burning velocities of methane-hydrogen-air mixtures. Research interests include iron powder combustion, hybrid fuel systems, and sustainable energy solutions. He collaborates on projects like 'Stable high hydrogen low NOx combustion' and 'Multiscale analysis of metal fuel combustion,' contributing to low-emission propulsion systems and exascale computing applications. Recent activities include presenting at the 2nd conference on Metal-enabled Cycle of Renewable Energy (MeCRE) and organizing workshops on iron powder safety and microstructure analysis. His work aligns with UN Sustainable Development Goals related to affordable clean energy and climate action.

Ishita ChatterjeeView profile

Senior Lecturer

• Applied Microeconomics
• Industrial Organisation
• Development Economics
• +7 more

Ishita Chatterjee is a Senior Lecturer in the Economics Program at the UWA Business School, University of Western Australia (UWA), since 2010. She holds a PhD from Monash University and has expertise in applied microeconomics, focusing on industrial organization, development economics, and gender issues. She serves on key committees including the UWA Coursework Scholarships Committee (2023–2025), and previously on the UWA Business School Research Committee (2014–2018). Her research addresses topics like human capital development, corruption, public school policies, and wellbeing of women and children. She has supervised numerous PhD, Honours, and Masters students and has received grants including the UWA Futures Fund and UWA Research Collaboration Award. Education: PhD, Competition, Commercial Piracy and Innovation, Monash University (2010) MPhil, Indira Gandhi Institute of Development Research (2006) MA, Jawaharlal Nehru University (2002) BSc, Presidency University, Kolkata (2000) Research Interests: Her work spans applied microeconomics, industrial organization, development economics, and gender-focused issues. Current projects include studies on crime/corruption, public school investments in India, and the impact of air pollution on altruistic behavior in China/India. She collaborates internationally with institutions like Saint Mary’s University (Canada) and the Central University of Finance and Economics (China). Recent Research Trends: Her publications analyze policy impacts on education, gender dynamics in family decision-making, and environmental influences on social behavior. Recent work highlights the role of institutions in addressing corruption and the effects of public policy on educational access and outcomes. Awards: UWA Business School & BHP Billiton Distinguished Research Awards (2017) Ahern Early Career Researcher Application Incentive Award (2015) Multiple UWA Research Development Awards (2014, 2011) Supervision & Grants: Supervised 5 PhD completions and numerous Honours/Masters students. Secured grants including UWA Futures Fund Small Grants (2022, 2021) and the UWA Research Collaboration Award (2022). Her work contributes to UN SDGs related to quality education and gender equality. Labs/Teams: Collaborates with the Australia-India Institute as an Honorary Fellow and co-leads projects with global partners on corruption, education, and demographic economics.

Sjoerd van der HeideView profile

Researcher

• Optical Communication
• Quantum Cryptography
• Digital Signal Processing
• +3 more

Sjoerd van der Heide is a University Researcher at Eindhoven University of Technology, affiliated with the Electrical Engineering department and the Electro-Optical Communication group. His work focuses on advanced optical communication systems, with expertise in quantum key distribution, digital signal processing, and space-division multiplexing. Education: MSc in Optical Communication Systems (2017), thesis titled Low-complexity pre-compensation and advanced modulation techniques for high capacity intensity-modulated direct detection systems , supervised by Prof. C.M. Okonkwo. Research interests include: Quantum cryptography over free-space and fiber links GPU-accelerated real-time optical receivers Mode-division multiplexing techniques Holography-based fiber device characterization Atmospheric turbulence compensation Statistical modeling of mode-dependent loss Recent publications demonstrate trends in Continuous-variable QKD integration Co-propagation of classical and quantum signals Neural network applications for transmission High-capacity SDM systems Real-time GPU-based signal processing Off-axis digital holography techniques Scientific awards include: ECOC 2018 Student Paper Award Optica Student Paper Award (2022) OECC 2019 Best Paper Award Active in experimental validation of transmission systems, with collaborations on multi-core fiber implementations, turbulence generators, and software-defined optical receivers. Currently involved in the Zwaartekracht ECO project for integrated nanophotonics research.

Farzad FarnoudView profile

Assistant Professor

• Information and Coding Theory
• Machine Learning
• Bioinformatics
• +3 more

Farzad Farnoud is an Assistant Professor in the Electrical and Computer Engineering and Computer Science Departments at the University of Virginia. His research focuses on information theory, coding theory, computational biology, and machine learning, with applications in DNA storage and genomic data analysis. He holds a Ph.D. in Electrical and Computer Engineering from the University of Illinois (2013) and postdoctoral experience at Caltech. Education: B.S. in Electrical Engineering (Sharif University of Technology, 2006) M.S. in ECE (University of Toronto, 2008) M.S. in Mathematics (UIUC, 2012) Ph.D. in ECE (UIUC, 2013) Postdoc at Caltech (2013–2016) His research interests span information-theoretic analysis of biological datasets, coding for DNA storage, stochastic modeling of genomic mutations, and rank aggregation algorithms. Notable contributions include error-correcting codes for duplication channels and frameworks for metagenomic data analysis. Recent work includes studies on short-duplication error correction (2023), active ranking algorithms (2022), and heterogeneous rank aggregation (2020). He has received the Robert T. Chien Memorial Award (2013) and the IEEE Data Storage Best Student Paper Award (2014). Teaching includes courses on computational biology, statistical learning, and graphical models. He leads the Information Processing + Storage Lab, focusing on interdisciplinary challenges in data storage and analysis.

Shiva AkbarzadehView profile

Adjunct Associate Professor

• Burns
• Skin Bioengineering
• Regenerative Medicine
• +3 more

Shiva Akbarzadeh is an Adjunct Associate Professor in the Department of Surgery at Monash University’s School of Translational Medicine, leading the Skin Bioengineering Lab. Her work focuses on skin tissue engineering to address severe burn injuries, emphasizing engineered skin substitutes to reduce mortality and disability. She has secured over $2.8 million in grants and holds editorial roles at journals like Journal of Bioengineering and Current Stem Cell Research & Therapy . A/Prof Akbarzadeh completed her PhD at the University of Melbourne (2002) and postdoctoral training at the Peter McCallum Cancer Centre and University of Birmingham. Education: PhD (Ludwig Institute for Cancer Research, 2002), Master of Applied Science (RMIT University, 1996), Bachelor of Science (University of Melbourne, 1992). Her research integrates stem cell technology, animal models, and clinical trials to develop therapies like the HSE skin substitute, which utilizes patient-derived stem cells. Key interests include accelerating wound repair, reducing scarring, and improving rehabilitation outcomes through engineered skin solutions. Awards include the 2024 Journal of Wound Care Award and recognition for her work on burn wound closure. She actively contributes to the Australian & New Zealand Burn Association and promotes STEM education through community outreach.

Ulrich KohliView profile

Professor

• International Economics
• Macroeconomics
• Trade Policy
• +3 more

Ulrich Kohli is an Honorary Professor at the University of Geneva, holding a Ph.D. from the University of British Columbia. His work focuses on international economics, macroeconomics, and trade policy, with a particular emphasis on productivity measurement, terms of trade dynamics, and monetary policy frameworks. Key research interests include the application of Törnqvist indices in trade and productivity analysis, real exchange rate effects, and the economic impacts of globalization. He has extensively studied Switzerland’s monetary policy challenges and the implications of trade agreements on economic performance. No scientific awards or grants are explicitly mentioned in the provided materials. His academic contributions span over three decades, addressing topics such as labor market effects of migration, inflation targeting efficacy, and GDP accounting methodologies.

• Labor Economics
• Monetary Policy
• European Economic Integration
• +3 more

Prof. Dr. Peter Rühmann is a Professor in the Department of Economics, specializing in Labor Economics at the Faculty of Business and Economics, Georg-August-University Göttingen. His research focuses on European Monetary Union (EMU) policies, labor market flexibility, monetary policy frameworks, and global economic integration challenges. He has contributed extensively to understanding labor market reforms, macroeconomic risk hedging, and cross-border economic dynamics. His work spans theoretical and applied economic analysis, with notable publications on EMU's impact on labor mobility, German labor market reforms, and Japan's economic crisis responses. He has authored foundational textbooks on monetary external economics and contributed to policy discussions on European integration and globalization impacts. Rühmann’s research emphasizes policy-relevant insights into macroeconomic stability, labor market institutions, and the interplay between monetary systems and national economic structures. His interdisciplinary approach bridges theory and practice in global economic governance.

Jo KennedyView profile

Associate Professor

• Financial Engineering
• Quantitative Finance
• Mathematical Finance
• +3 more

Dr. Jo Kennedy is an Associate Professor in the Department of Statistics at the University of Warwick, where she has been since 1998. Previously, she held positions at the University of Oxford and the University of Bristol. Her research focuses on financial derivatives, particularly interest rate derivatives and modeling requirements for market practitioners. She co-authored the influential book Financial Derivatives in Theory and Practice (2nd ed., 2004) with Phil Hunt. Kennedy holds a PhD in probability theory from the University of Cambridge, following her undergraduate and MSc degrees from the University of Sydney. Her work emphasizes advanced stochastic models, including Markov-functional models, stochastic volatility, and the SABR framework. Recent publications explore cross-currency models, non-Gaussian drivers, and the implications of model choice for hedging strategies. Her research bridges theoretical finance with practical applications in derivatives pricing and risk management. Despite her prolific output, no scientific awards are explicitly mentioned in the provided text. She collaborates actively with colleagues like J. Gogala, D. Pham, and L. Kaisajuntti, contributing to computational finance and applied mathematical finance journals. Her office is located in Room 3.06 of the MSB building at the University of Warwick.

• Cognitive Neuroscience
• Self-Modeling
• Metacognition
• +4 more

Matan Mazor is a Research Fellow at All Souls College, University of Oxford, specializing in cognitive neuroscience with a focus on self simulation and self-modelling. His work bridges experimental psychology, computational modeling, and philosophical inquiry into the nature of human cognition. His educational background includes a PhD supervised by Steve Fleming and Karl Friston at the Wellcome Centre for Human Neuroimaging, University College London, where he investigated the neural and computational basis of inference about absence. Prior to this, he completed a post-doctoral position with Clare Press at Birkbeck University studying motivation and metacognition's effects on perceptual processing. He earned his MSc at Tel Aviv University as part of the Adi Lautman Interdisciplinary Programme for Outstanding Students, where his Master's thesis under Roy Mukamel used model-free fMRI analysis to investigate the internal forward model in the human brain. Dr. Mazor's research explores how humans use mental self-models—simplified descriptions of one's cognition and perception—to control and monitor mental states, enabling efficient representation, learning, and behavioral adaptation. His work addresses fundamental questions about the cognitive benefits of self-representation, what happens when this representation is disturbed or biased, how self-representation interacts with memories of actions, and to what extent people represent their own minds beyond generic mind representations. His interdisciplinary approach combines behavioral testing, human neuroimaging, and computational modeling. His recent publications reveal a strong focus on metacognition, confidence judgments, and the relationship between perception and self-monitoring. The research shows consistent interest in how humans distinguish reality from imagination, how confidence ratings function in different cognitive tasks, and the neural mechanisms underlying obsessive-compulsive behaviors. His work demonstrates a progression from foundational theoretical questions about self-modeling toward more clinically relevant applications in disorders affecting self-monitoring. Dr. Mazor actively participates in the academic community through platforms like Bluesky, where he engages with colleagues on topics ranging from consciousness research to methodological issues in cognitive science. His professional network includes prominent researchers in cognitive neuroscience, psychology, and philosophy.

• Gravitational Lensing
• Physical Cosmology
• Galaxy Formation/Evolution
• +7 more

Prof. Sherry Suyu is an Associate Professor at the Technical University of Munich (TUM) and a Max Planck Fellow at the Max Planck Institute for Astrophysics (MPA). Her research focuses on probing the dark cosmos through gravitational lensing, dark energy, dark matter, and supermassive black holes. She leads the H0LiCOW program measuring the universe's expansion rate using lensed quasars and the HOLISMOKES program studying lensed supernovae. Her work has been supported by an ERC Consolidator Grant. Education and Affiliations: PhD in Physics from Caltech (2008), postdoctoral positions at UC Santa Barbara and Stanford University. Joint appointments at MPA (since 2016) and TUM. Member of the Excellence Cluster ORIGINS. Holds honorary positions including Emmy Noether Visiting Fellowship at Perimeter Institute (2018). Research Interests: Gravitational lensing, cosmic expansion rate, galaxy evolution, supernovae, tidal disruption events, and deep learning applications. Her group studies galaxy clusters, dark matter distribution, and cosmological models using lensing techniques. Awards: 2021 Berkeley Prize (AAS), 2024 ISIMM Senior Prize. Over 90 peer-reviewed publications. Teaches courses on extragalactic astrophysics and gravitational lensing at TUM. Labs/Teams: Head of the Observational Cosmology Group at TUM-MPA. Collaborates internationally with institutions in the US, Europe, Japan, and Taiwan. Supervises postdocs, PhD students, and bachelor/master researchers.

Mohammad Moghimi ArdekaniView profile

Associate Professor

• Renewable Energy
• Solar Thermal Technologies
• Thermal Energy Storage
• +6 more

Dr. Mohammad Moghimi-Ardekani is an Associate Professor of Clean Energy Technologies at Staffordshire University. His research focuses on renewable energy systems, particularly solar thermal technologies, thermal energy storage, and heat transfer optimization. He has published over 55 peer-reviewed articles and secured research grants totaling £1.7 million. His expertise includes Computational Fluid Dynamics (CFD), nanofluids, and heat exchanger design. Education: PhD in Mechanical Engineering (Energy Conversion), MSc in Mechanical Engineering (Energy Conversion subfield), BSc in Mechanical Engineering (Thermo-fluid subfield). Industrial experience includes over four years in design and simulation for solar thermal, oil, and petrochemical plants. Research interests span solar thermal systems, thermal storage materials, and advanced cooling solutions for batteries and electronics. He has received the Green Talent Award (2015) and a Promising Young Researcher rating (Y2) from the National Research Foundation. Teaching includes postgraduate and undergraduate courses in CFD, thermodynamics, and fluid mechanics. He serves on the editorial boards of three journals and reviews for 19 others. His work emphasizes sustainable energy solutions and industrial applications.

• Spatial Planning
• Urban Regeneration
• Housing Policy
• +4 more

Prof. Cecilia Wong is a Professor of Spatial Planning at The University of Manchester, affiliated with the Department of Planning and Environmental Management. She holds key roles including Director of the Spatial Policy & Analysis Lab at the Manchester Urban Institute and Co-Editor of Town Planning Review . Her expertise spans urban planning, policy analysis, and sustainable development, with a focus on China-UK comparative studies. Education: BSocSc (Hons) in Sociology/Geography (Chinese University of Hong Kong), MCD in Town Planning (University of Liverpool), PhD in Town and Country Planning (University of Manchester). Research interests include quantitative indicators for policy evaluation, urban regeneration, housing markets, and spatial planning frameworks. She leads projects on eco-urbanization in China, migration patterns in urban China, and sustainable urban development. Key achievements include the 2021 University of Manchester Researcher of the Year Award and Fellowship in the UK Academy of Social Sciences. Her work contributes to UN SDGs on sustainable cities and climate action through interdisciplinary projects like the TRUUD initiative on urban health policy. Current initiatives include the Spatial Policy & Analysis Lab, Methods for Cities research, and collaborative projects with institutions like The Chinese Academy of Sciences. She advises on national spatial policies and chairs the 2021 UK REF Sub-panel for Architecture and Planning.